Results 261 to 270 of about 28,708,140 (333)
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
Advanced Engineering Materials, EarlyView.The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories
Advanced Engineering Materials, EarlyView.A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi +3 more
wiley +1 more source
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Development and implementation of a fish counter by using an embedded system
Computers and Electronics in Agriculture, 2018Juan Miguel Hernández-Ontiveros +6 more
semanticscholar +3 more sources
In Situ Motor Fault Diagnosis Using Enhanced Convolutional Neural Network in an Embedded System
IEEE Sensors Journal, 2020Convolutional neural networks (CNNs) are one of the most efficient deep learning techniques and have been widely used in motor fault diagnosis. However, most of them are implemented in desktop computers to process off-line signals.
Siliang Lu +5 more
semanticscholar +1 more source
Computer Applications in Engineering Education, 2020
The Embedded system is the core unit of every digital device. The design and development of a new digital device or system require a good understanding of the embedded system embed in it. In the context of engineering education, learning embedded systems
Amit Kumar, A. Mantri, Rubina Dutta
semanticscholar +1 more source
The Embedded system is the core unit of every digital device. The design and development of a new digital device or system require a good understanding of the embedded system embed in it. In the context of engineering education, learning embedded systems
Amit Kumar, A. Mantri, Rubina Dutta
semanticscholar +1 more source
Comparison of Embedded System Design for Industrial Applications
IEEE Transactions on Industrial Informatics, 2011A. Malinowski, Hao Yu
semanticscholar +3 more sources
ACM SIGBED Review, 2014
The embedded systems world has radically changed since the first Embedded Systems Design Master studies were proposed. The spectrum of application areas has increased and the whole industrial ecosystem is changed, having SMEs emerged as major players.
Mariagiovanna Sami +3 more
openaire +1 more source
The embedded systems world has radically changed since the first Embedded Systems Design Master studies were proposed. The spectrum of application areas has increased and the whole industrial ecosystem is changed, having SMEs emerged as major players.
Mariagiovanna Sami +3 more
openaire +1 more source
Computer, 2010
Embedded systems pose special challenges to system evolution: they're embedded in a changing environment, often interacting with evolving processes of human organizations, and thus must be verified because of their critical nature. Complicating the situation, the analyses and testing regimens used to verify them must evolve as well.
G. Karsai +3 more
openaire +3 more sources
Embedded systems pose special challenges to system evolution: they're embedded in a changing environment, often interacting with evolving processes of human organizations, and thus must be verified because of their critical nature. Complicating the situation, the analyses and testing regimens used to verify them must evolve as well.
G. Karsai +3 more
openaire +3 more sources
Computers and Electronics in Agriculture, 2018
Statistical and artificial intelligence learning algorithms such as Principal Component Analysis (PCA) and Support Vector Machine (SVM) are widely used in many meat quality assessment applications to classify and predict the freshness of beef meat.
Assia Arsalane +5 more
semanticscholar +1 more source
Statistical and artificial intelligence learning algorithms such as Principal Component Analysis (PCA) and Support Vector Machine (SVM) are widely used in many meat quality assessment applications to classify and predict the freshness of beef meat.
Assia Arsalane +5 more
semanticscholar +1 more source
Mechanical systems and signal processing, 2017
A permanent magnet synchronous motor (PMSM) is a typical electromechanical system widely used in industrial automation. Bearing fault diagnosis is necessary because a bearing is a key and vulnerable component in a PMSM. Order analysis (OA) methods, which
Siliang Lu, Qingbo He, Jiwen Zhao
semanticscholar +1 more source
A permanent magnet synchronous motor (PMSM) is a typical electromechanical system widely used in industrial automation. Bearing fault diagnosis is necessary because a bearing is a key and vulnerable component in a PMSM. Order analysis (OA) methods, which
Siliang Lu, Qingbo He, Jiwen Zhao
semanticscholar +1 more source